Yang Fu
Impact in
- Endocrinology top 1%
- Vibrio bacteria research studies
- Escherichia coli research studies
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
Papers in
-
- Bacterial biofilms and quorum sensing 7
- Immunology 15
- Co-authors
- John J. Mekalanos (5 shared papers)Matthew K. Waldor (1 shared paper)Emrah Altındiş (1 shared paper)Brian T. Ho (2 shared papers)Jun Chen (1 shared paper)Qingxian Cai (1 shared paper)Hong Yu (1 shared paper)Yiming Zhang (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)Cell Host & Microbe (3 papers)Microbiological Research (3 papers)Frontiers in Microbiology (2 papers)RNA (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yang Fu
65 papers receiving 2.4k citations
Yang Fu's Hit Papers
Peers
Comparison fields: 5 of 135
- Endocrinology 431
- Molecular Medicine 232
- Biochemistry 185
- Infectious Diseases 506
- Microbiology 126
Countries citing papers authored by Yang Fu
This map shows the geographic impact of Yang Fu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Yang Fu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yang Fu more than expected).
Fields of papers citing papers by Yang Fu
This network shows the impact of papers produced by Yang Fu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Yang Fu. The network helps show where Yang Fu may publish in the future.
Co-authors
The 25 scholars most cited alongside Yang Fu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | COVID‐19 in a designated infectious diseases hospital outside Hubei Province, China Hit paper breakdown → | 2020 | 376 |
| 2 | 2010 | 353 | |
| 3 | 2013 | 196 | |
| 4 | 2014 | 136 | |
| 5 | 2015 | 109 | |
| 6 | 2014 | 74 | |
| 7 | 2013 | 65 | |
| 8 | 2017 | 59 | |
| 9 | 1993 | 55 | |
| 10 | 2022 | 52 | |
| 11 | 2020 | 50 | |
| 12 | 2022 | 48 | |
| 13 | 2012 | 45 | |
| 14 | 2015 | 44 | |
| 15 | 2021 | 44 | |
| 16 | 2018 | 43 | |
| 17 | 2016 | 41 | |
| 18 | 2018 | 40 | |
| 19 | 2017 | 37 | |
| 20 | 1997 | 37 |
About Yang Fu
Yang Fu is a scholar working on Molecular Biology, Immunology, Genetics, Endocrinology and Infectious Diseases, having authored 68 papers that have together received 2.4k indexed citations. Recurring topics across this work include Vibrio bacteria research studies (11 papers), Antibiotic Resistance in Bacteria (11 papers), Bacterial Genetics and Biotechnology (8 papers), Bacterial biofilms and quorum sensing (7 papers), Streptococcal Infections and Treatments (5 papers), Escherichia coli research studies (5 papers), SARS-CoV-2 and COVID-19 Research (5 papers) and Bacteriophages and microbial interactions (5 papers). The work is most often cited by research in Endocrinology (431 citations), Molecular Medicine (232 citations), Biochemistry (185 citations), Infectious Diseases (506 citations) and Microbiology (126 citations). Yang Fu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include John J. Mekalanos, Matthew K. Waldor, Emrah Altındiş, Brian T. Ho, Jun Chen, Qingxian Cai, Hong Yu, Yiming Zhang, Deliang Huang and Qing He. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cell Host & Microbe, Microbiological Research, Frontiers in Microbiology and RNA.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.